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Sustainability in Forest Management: Integration of Lidar Data, Forest Cartography and LCA

森林管理における持続可能性：LiDARデータ、森林地図作成、LCAの統合 (AI 翻訳)

Efrén Tarancón-Andrés, Jacinto Santamaría Peña, David Arancón-Pérez, E. Martínez, Julio Blanco‐Fernández

Sustainability📚 査読済 / ジャーナル2026-04-20#炭素会計Origin: EU
DOI: 10.3390/su18084086
原典: https://doi.org/10.3390/su18084086
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🤖 gxceed AI 要約

日本語

本研究は、LiDARデータ、森林地図、LCAを統合し、スペイン・ラリオハ州の森林管理による炭素動態と排出量を定量化（2010-2016年）。地上部バイオマスは増加し、伐採の影響を考慮しても正味の炭素吸収源であることを示した。限界として現地検証や土壌炭素評価の欠如がある。

English

This study integrates LiDAR data, forest cartography, and LCA to quantify carbon dynamics and emissions from forest management in La Rioja, Spain (2010-2016). Above-ground biomass increased, indicating a net carbon sink even when accounting for logging emissions. Limitations include lack of field validation and soil carbon accounting.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本手法は、日本における森林炭素吸収源の定量化やJ-クレジット制度への応用可能性を示唆する。ただし、スペインの事例であり、日本の森林特性に合わせた調整が必要。

In the global GX context

This paper demonstrates a practical method for regional forest carbon accounting using publicly available data, supporting national-level greenhouse gas inventories and carbon offset verification. It highlights trade-offs between carbon sequestration and logging emissions, relevant for global climate mitigation strategies.

👥 読者別の含意

🔬研究者:Provides a methodology for integrating remote sensing (LiDAR) and LCA in forest carbon accounting.

🏢実務担当者:Offers a framework for quantifying forest carbon dynamics that can be adopted by forestry companies or carbon offset developers.

🏛政策担当者:Supports development of national forest carbon monitoring systems with empirical evidence on net sink effects.

📄 Abstract（原文）

Sustainable forest management is increasingly recognized as an important climate change mitigation strategy because forests capture and store large amounts of carbon. This study presents a regional framework that integrates LiDAR data, forest cartography, and Life Cycle Assessment (LCA) to quantify biomass-related carbon dynamics and greenhouse gas emissions associated with forest management operations. The methodology was applied to the Autonomous Community of La Rioja (Spain) for the period 2010–2016 using public LiDAR campaigns, the Forest Map of Spain, and inventory data for reforestation and logging operations. Results show that above-ground biomass increased from 4,537,956 t in 2010 to 7,092,890 t in 2016, which corresponds to an increase of 1,200,819 t C in above-ground carbon stock. A complementary first-order estimate based on IPCC default root/shoot ratios suggests that total living biomass carbon (above- plus below-ground) increased by approximately 1,495,269 t C during the same period. In parallel, LCA results indicate that logging has substantially higher operational impacts than reforestation, particularly in terms of global warming potential. Even under a conservative scenario in which part of the carbon removed through logging is returned to the atmosphere, the regional balance remains net negative in CO2-equivalent terms, indicating a net sink over the analyzed period. However, the approach has important limitations, including the absence of independent field validation, stand-age stratification, and explicit soil-carbon accounting.

🔗 Provenance — このレコードを発見したソース

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。